Bayesian inversion algorithm for estimating local variations in permeability and porosity of reinforcements using experimental data
(2021)
Journal Article
Matveev, M., Endruweit, A., Long, A., Iglesias, M., & Tretyakov, M. (2021). Bayesian inversion algorithm for estimating local variations in permeability and porosity of reinforcements using experimental data. Composites Part A: Applied Science and Manufacturing, 143, Article 106323. https://doi.org/10.1016/j.compositesa.2021.106323
All Outputs (2)
The identification of failure initiation hotspots in idealised composite material component models using a “bottom-up database” method (2019)
Conference Proceeding
Zou, X., Yan, S., Rouse, J., Matveev, M., Li, S., Jones, I. A., …Fouinneteau, M. (2019). The identification of failure initiation hotspots in idealised composite material component models using a “bottom-up database” method. In Proceedings of 18th European Conference on Composite Materials, Athens 2018© CCM 2020 - 18th European Conference on Composite Materials. All rights reserved. Idealisations are inevitable for finite element simulations of complex composite structures especially airframes, where laminates are commonly modelled using shell ele... Read More about The identification of failure initiation hotspots in idealised composite material component models using a “bottom-up database” method.